The dynamic characteristics, of the SanSepolcro museum and the wall supporting the mural painting of Resurrection of Christ, were identified by installing a temporary network of 10 seismic sensors. The OMA technique was performed using enhanced frequency domain decomposition (EFDD) which has allowed to detect the first four modal shapes, damping and structural frequencies. The dynamic characteristics were used to calibrate a more realistic and reliable 3D-FEM numerical model. Integrating, the results of the dynamic indetification with 3D-FEM model analysis, has provided important information to understand the complicated system of connections between the existing walls.
Dynamic identification of the Sansepolcro (Italy) museum and the wall supporting the resurrection of christ by Piero della Francesca / Lacanna, G., Ripepe M., Deguy, P., Orti, L., Della Schiava, M.. - ELETTRONICO. - (2019), pp. 2830-2838. (Intervento presentato al convegno COMPDYN Proceedings tenutosi a Creete nel 24 June 2019).
Dynamic identification of the Sansepolcro (Italy) museum and the wall supporting the resurrection of christ by Piero della Francesca
Lacanna G.
Membro del Collaboration Group
;Ripepe M.;Deguy P.;Orti L.Membro del Collaboration Group
;Della Schiava
2019
Abstract
The dynamic characteristics, of the SanSepolcro museum and the wall supporting the mural painting of Resurrection of Christ, were identified by installing a temporary network of 10 seismic sensors. The OMA technique was performed using enhanced frequency domain decomposition (EFDD) which has allowed to detect the first four modal shapes, damping and structural frequencies. The dynamic characteristics were used to calibrate a more realistic and reliable 3D-FEM numerical model. Integrating, the results of the dynamic indetification with 3D-FEM model analysis, has provided important information to understand the complicated system of connections between the existing walls.File | Dimensione | Formato | |
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